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Speaker 1: The Michael Berry Show, Jeremy Carl has come to my attention.

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Speaker 1: He's described as an American author, commentator, policy expert whose

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Speaker 1: work spans energy policy, immigration, nationalism, and race relations. Okay,

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Speaker 1: you have my attention. He currently serves as a Senior

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Speaker 1: Fellow at the Fairmont I mean, at the Claremont Institute,

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Speaker 1: where his research focuses on multiculturalism, nationalism, and immigration in America. Previously,

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Speaker 1: Jeremy Carl was a research fellow at the Hoover Institution

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Speaker 1: at Stanford University, with which the Great Thomas Soul has

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Speaker 1: been associated for quite some time, concentrating there on energy

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Speaker 1: and environmental policy, with particular emphasis on energy security, climate policy,

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Speaker 1: and global fossil fuel markets. Don't panic, He's not one

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Speaker 1: of their guys. He's one of the few people who

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Speaker 1: focus on these things for the sole purpose of asking

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Speaker 1: a question, is this stuff real? And if not, what's

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Speaker 1: going to be done to stop it. In addition to

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Speaker 1: his academical he serves as served as Deputy Assistant Secretary

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Speaker 1: of the Interior during the Trump administration Trump one point zero,

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Speaker 1: overseeing policy decisions at the Fish and Wildlife Service and

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Speaker 1: the National Park Service. Jeremy Carl is the author or

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Speaker 1: editor of several books, including Keeping the Lights On at

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Speaker 1: America's Nuclear Power Plants, which addresses the challenges facing the

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Speaker 1: US nuclear energy sector, and I would argue we need

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Speaker 1: more nuclear energy. His most recent book is called The

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Speaker 1: Unprotected Class, How Anti White Racism is tearing America Apart?

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Speaker 1: The Unprotected Class, How anti White Racism is tearing America Apart.

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Speaker 1: Some of you might feel uncomfortable with this discussion, but

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Speaker 1: it is a conversation that needs to be had, and

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Speaker 1: we will have it now. He gave a lecture at

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Speaker 1: Hillsdale College on the rise of anti white racism, and

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Speaker 1: I think this is worth listening to. By the way,

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Speaker 1: Hillsdale College does some fantastic work, fantastic work. If you

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Speaker 1: get an opportunity to support that institution, I encourage you

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Speaker 1: to do it.

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Speaker 2: So what am I going to be talking about today?

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Speaker 2: There we go, I got it on my screen.

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Speaker 3: Now.

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Speaker 2: First, I'm going to give an overview of anti white

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Speaker 2: discrimination in America. I'm going to talk a little bit

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Speaker 2: about why it matters, and then I'm going to talk

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Speaker 2: a little bit about race in the twenty twenty four election.

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Speaker 2: And finally, I'm going to give a brief overview of

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Speaker 2: my book, which came out last year. Lots of great

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Speaker 2: endorsements everybody from Charlie Kirk to Victor Davis Hansen to

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Speaker 2: Hillsdale professor David Azarad.

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Speaker 4: In fact, it's actually being used.

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Speaker 2: In its first year as a textbook in a Hillsdale

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Speaker 2: class right now. So I've been very gratified by that.

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Speaker 2: And then I'm going to finally talk about what Hillsdale

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Speaker 2: and you and do. So first of all, I'm just

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Speaker 2: gonna make an observation. White people hate talking about whiteness

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Speaker 2: and white people. I have now been giving talks on

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Speaker 2: this for almost a year, and you know, it's just

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Speaker 2: a lot of folks, you know, maybe conservatives a little

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Speaker 2: bit bolder in some cases, would rather kind of crawl

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Speaker 2: in a hole than really have, I frank discussion on

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Speaker 2: these sorts of issues. The barchart I'm showing in front

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Speaker 2: of you is the percentage of Americans who think race

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Speaker 2: is an important element of their identity. And what you

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Speaker 2: see is white folks are like, way way lower than

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Speaker 2: everybody else. Now, there is sort of normal political science

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Speaker 2: reasons I've put on my political science hat why that

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Speaker 2: would be the case. You know, I think kind of

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Speaker 2: white Americans have sort of been the normative US identity,

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Speaker 2: but I think there's actually a lot of other things

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Speaker 2: kind of going on as well. But still, why can't

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Speaker 2: we avoid the issue? Why do we have to talk

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Speaker 2: about it? So I think a good goal in general

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Speaker 2: is obviously to have a colorblind society. The only way

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Speaker 2: to get there is to create painful consequences for those

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Speaker 2: who discriminate. Otherwise we're going to go through basically what

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Speaker 2: we've gone through a lot in US politics over the

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Speaker 2: last several decades, which is sometimes we'll say, hey, well

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Speaker 2: you're being racist and you know, and they kind of say, well,

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Speaker 2: so what, and then we don't do.

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Speaker 4: Anything and nothing happens. So that's not going to work.

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Speaker 2: And colorblind ultimately also can't mean not noticing actual discrimination

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Speaker 2: and racism. We can't solve racial problems ultimately that we're

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Speaker 2: afraid to talk about. And how do we get to Madison?

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Speaker 2: So what do I mean by that? That's James Madison

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Speaker 2: on the right there. So James Madison, I quote this

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Speaker 2: in my book. He talks about equal laws protecting equal rights.

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Speaker 2: I think that's really the kind of key goal that

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Speaker 2: we want to have in America, and he says they're

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Speaker 2: found as they ought to be, presumed as the best

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Speaker 2: guarantee of loyalty and love of country, as well as

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Speaker 2: calculated to cherish that mutual respect and goodwill among citizens

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Speaker 2: which is necessary to SA social harmony. So I think

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Speaker 2: that should be our goal. And again, I think the

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Speaker 2: only way we get to that goal is equal laws

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Speaker 2: protecting equal rights for everybody, and that's not really what

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Speaker 2: we've been doing. So a few upfront disclaimers before I

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Speaker 2: really kind of get into the meat here. Obviously, historically,

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Speaker 2: anti white discrimination is not the most damaging historical form

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Speaker 2: of discrimination in America. I'm not pretending otherwise. It's not

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Speaker 2: the only form of racial discrimination or racism today, but

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Speaker 2: I do argue in my book that it's the most

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Speaker 2: pervasive and politically salient form of racism today. And ultimately,

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Speaker 2: the solution for anti white identity politics is not white

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Speaker 2: identity politics. I'm happy to get into more detail on

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Speaker 2: why that is, but I just wanted to be very

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Speaker 2: explicit about that. And we don't need a new victim class, okay,

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Speaker 2: but we do need to fix the system, and we're

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Speaker 2: actually beginning to finally get a little bit toward that,

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Speaker 2: which is sort of exciting. So Hillsdale has a unique record. Normally,

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Speaker 2: I've talked about this book at Harvard, Notre Dame, in

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Speaker 2: a bunch of other places, and normally I just have

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Speaker 2: to tell them how terrible their school is doing this.

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Speaker 2: But Hillsdale, like, it's very nice because I get to

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Speaker 2: like write about all the good things that Hillsdale's done

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Speaker 2: in this regard. So, as many of you may know,

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Speaker 2: Hillsdale's original eighteen fifty charter was the first in the

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Speaker 2: United States to prohibit discrimination on the basis of gender, race,

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Speaker 2: or religion. And they've been consistent about that in the

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Speaker 2: many years since. In nineteen seventy one, Hillsdale refused to

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Speaker 2: report data on race to the US government. This sort

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Speaker 2: of began the Hillsdale separation from anything to do with

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Speaker 2: the government. And then I'm going to quote here from

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Speaker 2: President arn and a Wall Street Journal op ed, and

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Speaker 2: he's quoting President Coolidge himself, which he acknowledges. He says,

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Speaker 2: if all men are created equal, that is final. If

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Speaker 2: they are endowed with inalienable rights, that is final. No advance,

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Speaker 2: no progress can be made beyond these propositions. And I

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Speaker 2: think that's obviously a very strong statement, both individually and

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Speaker 2: for the institution. Hillsdale has always sort of gone after

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Speaker 2: a better kind of glory. This is a picture of

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Speaker 2: Hillsdale's nineteen fifty six football team that was undefeated. They

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Speaker 2: were invited to the Tangerine Bowl down in Florida, but

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Speaker 2: they were told that they were going to have to

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Speaker 2: leave their black players at home, and they declined. They

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Speaker 2: declined to do it, so they didn't play. And some

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Speaker 2: Hillsdale students just a yeah, I think so in Some

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Speaker 2: Hillsdale students just a few years ago did a documentary

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Speaker 2: on this team, which I'd encourage you guys to check out.

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Speaker 2: So again, you know, Hillsdale's record, unlike just about everybody

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Speaker 2: else in higher education right now, has been really exemplary.

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Speaker 4: Here oh sorry, and.

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Speaker 2: Again I'm gonna quote from President arn Sam Wall Street

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Speaker 2: Journal editorial, but this is his own words. Here he says,

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Speaker 2: the pressure to count by race used to come from

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Speaker 2: the forces in favor of slavery and discrimination. Today it

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Speaker 2: is justified in the name of diversity. No matter it's

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Speaker 2: sour as hills will continue to resist this pernicious ideology

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Speaker 2: and judge our applicants on their individual merits, so very

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Speaker 2: well said from President are in there. So America right

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Speaker 2: now is in the middle of a vast demographic transformation,

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Speaker 2: and this is another reason that we have.

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Speaker 4: To talk about this issue.

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Speaker 2: So what you're looking at here is a graph of

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Speaker 2: US minorities by race and ethnicity, and the first one,

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Speaker 2: the blue bar there, is from nineteen sixty. This was

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Speaker 2: the last census before the Heart Cellar Immigration Act, which

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Speaker 2: totally transformed America's immigration system.

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Speaker 4: And what you see is you have about I think.

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Speaker 2: Four and a half million Hispanics, eighty percent of those

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Speaker 2: are US born, so they're pretty well integrated into the

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Speaker 2: American mainstream, and you have barely measurable numbers of Asian Americans,

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Speaker 2: the black immigrant population.

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Speaker 4: There.

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Speaker 2: It's not that I forgot to put the bar in,

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Speaker 2: it's just so small you can't even see it. In

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Speaker 2: nineteen sixty Today we've got about sixty two million Hispanics,

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Speaker 2: twenty five million or so Asian Americans, four and a

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Speaker 2: half million African American immigrants, right. So it's a total

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Speaker 2: demographic transformation that have happened in the lifetimes of many

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Speaker 2: of the folks in this room, right so it's it's

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Speaker 2: you know, it's an area that we've got to discuss again.

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Speaker 2: Just to give a sense, in nineteen sixty twenty one,

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Speaker 2: of the forty eight continental United States, we're more than

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Speaker 2: ninety five percent white, fourteen percent states were more than

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Speaker 2: ninety eight percent white.

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Speaker 4: Today there's like, I don't think.

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Speaker 2: Maybe main is over ninety percent, but that's it, right,

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Speaker 2: So we've just we're in a much more diverse America

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Speaker 2: and we have to talk about that, and ultimately, the

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Speaker 2: decision we make about how we're going to handle that

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Speaker 2: demographic transformation will determine our success as a multi ethnic country.

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Speaker 4: So I'm going to skip through a little bit here.

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Speaker 2: This is just similar things showing you nineteen fifty basically

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Speaker 2: everybody's black or white.

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Speaker 4: That's the headline.

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Speaker 2: Twenty twenty four, what does that same bar chart look

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Speaker 2: our pie chart look like. So white non Hispanics are

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Speaker 2: now fifty nine percent of America, and you've got a

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Speaker 2: panoply of other groups kind of making up Hispanics, obviously

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Speaker 2: being the most notable rise. But then it's even more

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Speaker 2: instructive to look at the under eighteen demographics. So the

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Speaker 2: average Hillsdale freshman, you know, Cohort, we are now a

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Speaker 2: majority minority country in the under eighteen folks, and so

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Speaker 2: that's why we have to, you know, pay attention to

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Speaker 2: this stuff. And again I think it's great, by the way,

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Speaker 2: for Hillsdale, because we're trying to aspire to something higher, right,

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Speaker 2: to not fixate on these numbers. But then beyond that,

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Speaker 2: there's politics where we have to be aware that these

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Speaker 2: sorts of things are going on and that they're going

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Speaker 2: to create political demands that are associated with them. And

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Speaker 2: we see those political demands already today. So the interesting thing,

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Speaker 2: I mean, normally you kind of do these sorts of

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Speaker 2: presentations and you've got your you've got your sort of stick, and.

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Speaker 4: You kind of give it.

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Speaker 2: And I mean you're actually seeing a brand new presentation

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Speaker 2: today for many reasons.

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Speaker 4: But you know, normally I do that.

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Speaker 2: But what Trump has done in the last I would

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Speaker 2: have kind of had to tear up half of my

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Speaker 2: presentation anyway, because he really has changed the game on

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Speaker 2: a lot of this stuff. And I'll just give you

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Speaker 2: an couple few examples. So, first of all, we've seen

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Speaker 2: the firing of federal DEI officials were really they're trying

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Speaker 2: to remove DEI from every aspect of government. They revoked

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Speaker 2: lbj's Affirmative Action executive order. This came up last night

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Speaker 2: in the conversation with Charlie Kirk. It's incredibly important, something

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Speaker 2: any Republican president could have done, but only Trump had

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Speaker 2: the guts to actually do it. We've had a crackdown

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Speaker 2: on illegal migration, and all six of the core recommendations

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Speaker 2: in my book were adopted in the first week by

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Speaker 2: the Trump administration. Now I'm gonna I don't want to

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Speaker 2: sort of claim too much for me here or to

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Speaker 2: break any confidences, but I'll just leave it to say

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Speaker 2: that's not entirely a coincidence. So that's kind of gratifying,

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Speaker 2: and you know, a salute to President Trump and his

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Speaker 2: team for really being incredibly bold there. And then Elon

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Speaker 2: and other core members of the Trump team get it.

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Speaker 2: I've got like, you know, forty five fifty thousand followers

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Speaker 2: on Twitter, Elon as like two hundred and twenty nine million,

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Speaker 2: and he follows only a few hundred people of whom

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Speaker 2: I am one, and it's because of this book, and

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Speaker 2: I'm one of the smaller accounts he follows. Because he

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Speaker 2: understands this sort of issue, you know, very intently, is

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Speaker 2: very focused on it. So I think that again is

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Speaker 2: just sort of speaking to the fact that at the

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Speaker 2: highest levels of the Trump White House and associated folks,

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Speaker 2: now people are paying attention over here's the problem with

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Speaker 2: even just relying on the law here. So this is

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Speaker 2: kind of a couple of confusing charts, and I'll apologize

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Speaker 2: for putting up confusing charts, but they are important.

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Speaker 4: Even a Supreme Court.

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Speaker 2: Ruling is not going to stop most universities from discriminating

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Speaker 2: by race. So what we have here is in twenty

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Speaker 2: twenty three, there was aive action allowed in universities. We

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Speaker 2: then had a case called Students for Fair Admissions versus Harvard.

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Speaker 2: Affirmative action was reversed by the Supreme Court in universities

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Speaker 2: and they said you can't discriminate on race. So what

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Speaker 2: this chart here does, and it's taken from the failing

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Speaker 2: New York Times, but I have to give them credit,

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Speaker 2: they did a good job with these charts is a

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Speaker 2: show what the percentage of African American and Hispanic students

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Speaker 2: share change between twenty twenty three and twenty twenty four.

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Speaker 2: And the green dots that are above the line show

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Speaker 2: an increase, and the red dots that are below the

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Speaker 2: line show a decrease. And the kind of headline that

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Speaker 2: you see there is you see a small decrease on

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Speaker 2: the order of about ten percent for each of those populations.

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Speaker 2: Now and then the second thing you see is, of course,

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Speaker 2: is that it's totally heterogeneous. It's not like everybody falls

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Speaker 2: summer rising. Okay, there was evidence introduced in the Students

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Speaker 2: for Fair Admissions case at Harvard about, Okay, this is

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Speaker 2: what Harvard would look like if we weren't discriminating by

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Speaker 2: race functionally.

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Speaker 4: This is what it said, and if you did that.

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Speaker 2: I mean again, I'm over simplifying thousands of pieces of

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Speaker 2: evidence here. So people who've read over the case, please

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Speaker 2: don't yell at me, but you know, you would have

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Speaker 2: seen like a fifty percent drop give or take conservatively

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Speaker 2: among Hispanic students, seventy five percent drop in African American students.

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Speaker 4: We don't see anything like that here.

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Speaker 2: So what basically is happening is universities are thumbing their

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Speaker 2: nose at the Supreme Court. They're thumbing their nose at

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Speaker 2: the federal government. They're saying, yeah, we're just we don't

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Speaker 2: care what they're ruling is we're just going to ignore

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Speaker 2: it pretty much, or we'll you know, we'll fake a

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Speaker 2: little bit like we're paying attention to it.

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Speaker 4: So the question is, like, what are we going to

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Speaker 4: do about that? And I hope we'll do something.

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Speaker 2: I think the Trump administration again is I'm sure looking

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Speaker 2: at this, but I think this is something you're going

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Speaker 2: to look out for going forward. So racing the twenty

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Speaker 2: twenty four election, I think this is kind of again

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Speaker 2: important to just for the political salience of why we

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Speaker 2: should fight anti white racism and discrimination the same way

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Speaker 2: we would fight anti African American or anti Asian American

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Speaker 2: or any other type of discrimination. So Trump see's historic

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Speaker 2: gains among minorities. The orange bar is what he did

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Speaker 2: in twenty sixteen, the blue bar is what he did

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Speaker 2: in twenty twenty.

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Speaker 4: These are pretty much all modern day records.

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Speaker 2: Maybe not quite Asian Americans, but pretty close to it,

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Speaker 2: certainly among Hispanics, which is the biggest group for minority votes.

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Speaker 4: So you see not just a huge gain.

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Speaker 2: That Trump had over eight years, but kind of record

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Speaker 2: numbers overall objectively, And that's great, you know, we should

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Speaker 2: all be thrilled about that. But with all that Trump's

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Speaker 2: popular vote win was relatively marginal. It was on the

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Speaker 2: order of a point and a half, though obviously stronger

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Speaker 2: in the electoral college. And I'm going to sort of

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Speaker 2: walk through a little bit why that is. I think

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Speaker 2: also it's important to say Trump's coalition I think is

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Speaker 2: probably fairly unique to him. I don't think it's fully replicable.

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Speaker 2: I mean, I love jd Vance, I love Marco Rubio,

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Speaker 2: I love a number of the other folks who might

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Speaker 2: be twenty twenty eight contenders. I think they could put

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Speaker 2: forth a powerful coalition, but I don't think that anybody

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Speaker 2: is going to be able to put together quite the

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Speaker 2: Trump coalition that we just saw, So that I think

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Speaker 2: is also important. Interestingly, Trump lost ground between twenty and

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Speaker 2: twenty four and this was really really marginal, but I mean,

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Speaker 2: it was less than a point in each case. But

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Speaker 2: given that his entire vote, you know, shifted several points

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Speaker 2: to him, it's notable only among whites over forty five,

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Speaker 2: white male college grads, white urban voters, and those with

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Speaker 2: postgrad degrees. This is out of like seventy five demographic categories.

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Speaker 2: So you had no improvement for Trump's performance among whites

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Speaker 2: in twenty twenty four. Basically from twenty sixteen and twenty

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Speaker 2: twenty he's still, by the way, taking a huge majority whites.

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Speaker 2: Of Republicans have won the white vote with the exception

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Speaker 2: of Barry Goldwater, in every election since Harry Truman, so

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Speaker 2: this has been going back aways. But you know, his

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Speaker 2: numbers were really not particularly sterling. White college graduates have

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Speaker 2: traditionally been a GOP constituency. The orange bar you're looking

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Speaker 2: at there at the top is a number of overall

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Speaker 2: white white college graduates f wating for the GP. The

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Speaker 2: green bar is all voters. But notably, this only goes

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Speaker 2: through twenty sixteen, and if you were to look at

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Speaker 2: this in twenty twenty four, you would now see the

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Speaker 2: bar Kamala Harris won white college graduates and by.

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Speaker 4: By I think six or seven points.

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Speaker 2: So this has been an area, particularly among white elites,

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Speaker 2: where we've really struggled. And here this is another way

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Speaker 2: of seeing the same data. But you see Trump doing

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Speaker 2: best with those who've never attended college, and then basically

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Speaker 2: once you get to advanced degrees, Harris is really dominating.

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Speaker 2: And I think this has a lot to do with

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Speaker 2: the indoctrination that we've had in the university system over

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Speaker 2: many years now, right, So I'm just you know, I'm

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Speaker 2: not trying to yild the lily here, right, Like this

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Speaker 2: is these are the numbers, and we need to deal

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Speaker 2: with those. So what would Trump's victory have been like

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Speaker 2: under different demographic scenarios? And why I say this is

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Speaker 2: what I'm essentially implicitly asking is if Trump really put

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Speaker 2: an effort as we're seeing him do on addressing anti

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Speaker 2: white discrimination in a way that would be appealing to

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Speaker 2: more white voters, Like, what might we see.

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Speaker 4: In terms of votes? So first, here's what he actually took.

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Speaker 2: This bar in twenty twenty four just shy of fifty

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Speaker 2: is forty nine point eight, very close. Now, let's imagine

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Speaker 2: a scenario in which Trump takes a majority of the

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Speaker 2: Hispanic and Asian American vote.

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Speaker 4: White votes says the same.

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Speaker 2: It goes up just a tiny bit, okay, and these

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Speaker 2: would be of course historically this never happened, but let's

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Speaker 2: just pretend that it did. It goes up to I

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Speaker 2: think fifty point seven in my chart. Now, let's assume

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Speaker 2: that he takes a majority of the Hispanic and Asian

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Speaker 2: American vote and twenty five percent of the African American vote. Again,

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Speaker 2: this would be completely unprecedented for a GOP candidate, and

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Speaker 2: we get up to you know, fifty two percent, which

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Speaker 2: is great, you know, and that would be enough to win,

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Speaker 2: So like, wonderful. Now, let's just assume Trump goes back

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Speaker 2: to whatever he did in twenty twenty four with minorities,

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Speaker 2: but he just took Romney's share of the vote among

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Speaker 2: college graduate whites. And then you see he's at about

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Speaker 2: fifty two point seven percent, so it's actually higher than

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Speaker 2: with any of these other scenarios. And now let's just

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Speaker 2: assume for this last one, a scenario in which his

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Speaker 2: minority numbers stayed the same, but he took the same

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Speaker 2: percentage of white college graduates that Ronald Reagan took. You know,

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Speaker 2: like yeah, right, you know, it's dramatic, right, So we

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Speaker 2: get a lot of and again I don't want to

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Speaker 2: say this in.

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Speaker 4: Any sort of discouraging way.

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Speaker 2: We should absolutely be reaching out to every single demographic

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Speaker 2: group in the country. And I think it's incredible that

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Speaker 2: Trump has put together the multi ethnic coalition that he has.

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Speaker 2: But it's just to say we are still undervaluing and

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Speaker 2: where the huge opportunity for the gop is is given

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Speaker 2: the the Democratic Party is like institutionally anti white. Our

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Speaker 2: performance with white voters is really lacking, and I think

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Speaker 2: part of that has been that we are often scared

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Speaker 2: to talk.

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Speaker 4: About these issues.

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Speaker 2: So I just want to show from a vote perspective

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Speaker 2: what it looks like, you know, if we were really

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Speaker 2: to speak to more of these voters. So some ways

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Speaker 2: that the left discriminates against whites. Again, I'll go through

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Speaker 2: these really quickly. So Biden judges. This was something I

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Speaker 2: did that ended up going pretty viral and getting a

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Speaker 2: lot of attention. In his first two years, Joe Biden

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Speaker 2: appointed twenty two black women as judges and five white men.

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Speaker 2: If you just run through, like any objective categorization of

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Speaker 2: professional or academic achievement, I mean, this is off by

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Speaker 2: orders of magnitude from what a merit based approach to

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Speaker 2: judging would look like. And again, nobody said anything about this.

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Speaker 2: You know, they saided like some random think tank NERD

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Speaker 2: in Montana made a big deal about this, but none

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Speaker 2: of our politicians were, like, out there are very few,

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Speaker 2: I shouldn't say none.

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Speaker 4: There's some good eggs out there, but very few.

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Speaker 2: Here's an amazing one I've bet very few people raise

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Speaker 2: your hand if you actually know this one. There was

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Speaker 2: zero white Protestants in Joe Biden's cabinet. Yeah see right,

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Speaker 2: like you didn't even know like like talk about the

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Speaker 2: you know, a total replacement right out of twenty five people.

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Speaker 4: Okay, I have to cave up this a little bit.

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Speaker 2: Pete Boudhage Edge is a convert from Catholicism because of

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Speaker 2: the homosexuality issue, to some form of Episcopalianism. So you've

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Speaker 2: got maybe a half there, but like, no, no born

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Speaker 2: white Protestants in Biden's entire cabinet, and nobody like white

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Speaker 2: Protestants ran for better or for worse the entire United

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Speaker 2: States for the first three hundred plus years, right that

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Speaker 2: I'm kinding from not independence obviously, but from the original colonization.

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Speaker 4: Like this is, people didn't even talk about it.

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Speaker 2: They sort of pretended that Joe Biden did some based

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Speaker 2: approach that just happened to have zero.

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Speaker 4: White Protestants, right.

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Speaker 2: Like again, I mean I've mentioned this, and like you

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Speaker 2: can find one or two other mentions of it on

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Speaker 2: the internet.

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Speaker 4: That's it seems kind of interesting to me.

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Speaker 2: Reparations Democrats are still introducing reparations bills right now. Okay,

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Speaker 2: this is going on affirmative action. We've talked about DEI.

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Speaker 2: We've talked a little bit about race based scholarships. Again,

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Speaker 2: not something you'll see at Hillsdale. Disparate impact, this is

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Speaker 2: a huge one. Again, this is something this is one

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Speaker 2: of the few things that Trump could actually probably change

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Speaker 2: by executive order.

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Speaker 4: He hasn't done it yet.

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Speaker 2: I actually expect we'll see movement that's not based on

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Speaker 2: any inside knowledge, but it's just based on my Disparate

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Speaker 2: impact is a complicated way, but don't have time to

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Speaker 2: get into it here, but it's a huge way that

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Speaker 2: we discriminate against white Americans. Based on a case called

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Speaker 2: Griggs versus Duke Power from nineteen seventy one in the

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Speaker 2: Supreme Court. There's small business loans still only for non whites.

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Speaker 2: Racial quotas at the Academy awards again, something probably very

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Speaker 2: few of you guys know about. You know, you now

435
00:23:04,440 --> 00:23:07,200
Speaker 2: have to check all these racial diversity boxes to even

436
00:23:07,200 --> 00:23:08,719
Speaker 2: be eligible for an Academy award.

437
00:23:08,920 --> 00:23:10,879
Speaker 4: So things like that going on.

438
00:23:11,359 --> 00:23:14,680
Speaker 2: So a lot of white Americans have Stockholm syndrome, meaning

439
00:23:14,680 --> 00:23:16,520
Speaker 2: that they've kind of fallen in love with their captors.

440
00:23:17,119 --> 00:23:17,880
Speaker 4: So I took this.

441
00:23:17,880 --> 00:23:21,440
Speaker 2: This is from Congress with Jasmine Crockett saying the only

442
00:23:21,480 --> 00:23:22,520
Speaker 2: people crying.

443
00:23:22,240 --> 00:23:23,520
Speaker 4: Are mediocre white boys.

444
00:23:23,600 --> 00:23:25,840
Speaker 2: This was on the repeal of DEI Now, fine, okay,

445
00:23:25,840 --> 00:23:27,800
Speaker 2: I mean Jasmine Crockett, she's a real piece of work.

446
00:23:27,840 --> 00:23:31,399
Speaker 2: She's a relatively new congresswoman. You know, I could just

447
00:23:31,480 --> 00:23:33,240
Speaker 2: quote her and say, ah, well, okay, this is just

448
00:23:33,320 --> 00:23:36,840
Speaker 2: the crazy person out of context. This was highlighted on

449
00:23:37,000 --> 00:23:41,040
Speaker 2: the official Democrat Party Rapid Response Twitter feed. Okay, so,

450
00:23:41,160 --> 00:23:45,280
Speaker 2: like institutionally people in the Democrat parties seem fine with that,

451
00:23:45,600 --> 00:23:49,520
Speaker 2: I'm not fine with it. I'm just gonna give a

452
00:23:49,560 --> 00:23:52,040
Speaker 2: brief overview with my book. You can go get it

453
00:23:52,080 --> 00:23:54,080
Speaker 2: on Amazon. I've actually got some copies here if people

454
00:23:54,119 --> 00:23:59,720
Speaker 2: want to buy one. Enlighten my Luggage. But you know,

455
00:24:00,600 --> 00:24:04,240
Speaker 2: got very good reviews from lots of different corners. So

456
00:24:04,320 --> 00:24:06,199
Speaker 2: first I should just sort of explain what a protected

457
00:24:06,240 --> 00:24:07,920
Speaker 2: class is in a civil rights law, because that's the

458
00:24:07,960 --> 00:24:12,840
Speaker 2: origin of the title. Race, age, disability, religion, sex, sexual orientation.

459
00:24:13,320 --> 00:24:15,639
Speaker 2: Those are all protected classes, which means you can't be

460
00:24:15,680 --> 00:24:19,960
Speaker 2: discriminated against them against because of them. Now, in reality,

461
00:24:22,200 --> 00:24:25,600
Speaker 2: whites who should be in theory, a protected class have

462
00:24:25,680 --> 00:24:29,159
Speaker 2: been an unprotected class, and until Trump's executive orders, I

463
00:24:29,160 --> 00:24:31,080
Speaker 2: would have just made that as a declarative statement and

464
00:24:31,119 --> 00:24:34,760
Speaker 2: said there's no exception. Now we're beginning to finally see.

465
00:24:34,800 --> 00:24:36,800
Speaker 2: Like Stephen Miller, by the way, it was really terrific

466
00:24:36,800 --> 00:24:39,600
Speaker 2: about this when he ran this America First Legal outfit,

467
00:24:39,640 --> 00:24:42,280
Speaker 2: which is another great and they were literally picking up

468
00:24:42,400 --> 00:24:44,080
Speaker 2: you know, they say there's never the twenty dollar bill

469
00:24:44,200 --> 00:24:46,040
Speaker 2: lying on the ground, but this really was it.

470
00:24:46,119 --> 00:24:47,800
Speaker 4: I mean, there were just blatant.

471
00:24:47,400 --> 00:24:51,080
Speaker 2: Violations of the law happening all over the place, where

472
00:24:51,119 --> 00:24:54,679
Speaker 2: there were scholarships, jobs, whatever that whites were not allowed

473
00:24:54,680 --> 00:24:56,639
Speaker 2: to get, which is against the law, but nobody was

474
00:24:56,680 --> 00:24:59,760
Speaker 2: doing anything about it. And America First Legal seed these

475
00:24:59,760 --> 00:25:03,360
Speaker 2: guys in many different context invariably they fold up shop

476
00:25:03,400 --> 00:25:05,119
Speaker 2: because they know they actually don't have a legal case

477
00:25:05,560 --> 00:25:10,160
Speaker 2: to present. So civil rights, this is actually one where

478
00:25:10,200 --> 00:25:11,919
Speaker 2: I'm a little bit more moderate than a couple other

479
00:25:11,920 --> 00:25:15,159
Speaker 2: people who've written on similar subjects. I don't think it's

480
00:25:15,160 --> 00:25:18,320
Speaker 2: actually particularly useful to re litigate the Civil Rights Act.

481
00:25:19,000 --> 00:25:21,320
Speaker 2: I think it responded to real problems that we had

482
00:25:21,359 --> 00:25:23,439
Speaker 2: in society. It was sort of a blunt instrument for

483
00:25:23,560 --> 00:25:27,480
Speaker 2: doing so. But you know, I can understand, like why

484
00:25:27,520 --> 00:25:30,520
Speaker 2: we wound up in the place that we did. But

485
00:25:30,600 --> 00:25:33,120
Speaker 2: I'd say there's as much time between the Civil Rights

486
00:25:33,119 --> 00:25:35,920
Speaker 2: Act and today as between the Civil Rights Act and

487
00:25:35,960 --> 00:25:38,920
Speaker 2: the Right Brothers. Okay, so we're just in a different

488
00:25:39,560 --> 00:25:42,679
Speaker 2: environment now, we have a totally different set of problems,

489
00:25:42,720 --> 00:25:45,119
Speaker 2: and we need to reform our civil rights laws to

490
00:25:45,240 --> 00:25:45,840
Speaker 2: reflect that.

491
00:25:48,480 --> 00:25:50,639
Speaker 4: So crime, I talk a.

492
00:25:50,600 --> 00:25:54,800
Speaker 2: Lot about hate crime, hoaxes and real crime statistics, go

493
00:25:54,880 --> 00:25:57,080
Speaker 2: through some of those sort of more notorious cases where

494
00:25:57,119 --> 00:25:58,800
Speaker 2: this has kind of come in, and then I talk

495
00:25:58,840 --> 00:26:01,160
Speaker 2: a little bit about the hunt for the Great White Defendant.

496
00:26:01,560 --> 00:26:03,879
Speaker 2: Those of you have read Tom Wolfe maybe recognized that

497
00:26:03,960 --> 00:26:06,879
Speaker 2: as a quote from Bonfire the Vanities or a nineteen

498
00:26:06,880 --> 00:26:09,639
Speaker 2: eighties book that really I think prefigured a lot of

499
00:26:09,680 --> 00:26:13,680
Speaker 2: these social trends around race that we're talking about even

500
00:26:13,720 --> 00:26:19,000
Speaker 2: today real estate. So this is actually probably one of

501
00:26:19,080 --> 00:26:21,040
Speaker 2: the most provocative claims of the book. For whatever reason,

502
00:26:21,600 --> 00:26:23,720
Speaker 2: the liberal media has not picked up on it too much.

503
00:26:24,240 --> 00:26:26,320
Speaker 2: But I basically argue that white flight was the only

504
00:26:26,359 --> 00:26:28,880
Speaker 2: form of ethnic cleansing in which the victims were really blamed.

505
00:26:30,119 --> 00:26:32,560
Speaker 2: And what I do is I talk about the riots

506
00:26:32,560 --> 00:26:35,000
Speaker 2: and violence that drove out the white and eventually the

507
00:26:35,040 --> 00:26:36,359
Speaker 2: minority middle classes from.

508
00:26:36,280 --> 00:26:38,679
Speaker 4: A lot of these areas.

509
00:26:38,760 --> 00:26:40,760
Speaker 2: And then I talk about Joe Biden's history with bussing,

510
00:26:40,800 --> 00:26:43,760
Speaker 2: which is very interesting, ended up being less relevant now

511
00:26:43,800 --> 00:26:46,360
Speaker 2: that he's no longer president, but he originally kind of

512
00:26:46,720 --> 00:26:50,000
Speaker 2: rose to prominence as an anti forced bussing advocate, and

513
00:26:50,040 --> 00:26:51,280
Speaker 2: that history has sort of been.

514
00:26:51,200 --> 00:26:54,080
Speaker 4: Memory hold history.

515
00:26:54,240 --> 00:26:57,280
Speaker 2: So we're tearing down again, more than one hundred and

516
00:26:57,320 --> 00:27:02,159
Speaker 2: forty monuments down since twenty twenty Columbus and Jefferson statues, removed,

517
00:27:02,200 --> 00:27:03,280
Speaker 2: Lincoln statues to face.

518
00:27:03,600 --> 00:27:04,480
Speaker 4: You could go on again.

519
00:27:04,640 --> 00:27:07,040
Speaker 2: I imagine some of you guys have seen things like this

520
00:27:07,359 --> 00:27:08,920
Speaker 2: one on the right there is New York City Hall.

521
00:27:10,680 --> 00:27:12,920
Speaker 4: We've had the attacks on.

522
00:27:13,160 --> 00:27:19,040
Speaker 2: Jefferson and Madison in their historic homes. If you kind

523
00:27:19,040 --> 00:27:21,639
Speaker 2: of go there now, it's like a woke parade of

524
00:27:23,000 --> 00:27:25,240
Speaker 2: sort of attacking them on the basis of slavery, which

525
00:27:25,280 --> 00:27:27,439
Speaker 2: you know, again, it's twenty twenty five. Nobody needs to

526
00:27:28,480 --> 00:27:31,119
Speaker 2: be reminded that slavery was bad, nor does anybody object

527
00:27:31,119 --> 00:27:33,560
Speaker 2: to having it producted presented in context.

528
00:27:33,840 --> 00:27:36,640
Speaker 4: Interestingly, as I kind of document in the book, one of.

529
00:27:36,560 --> 00:27:39,560
Speaker 2: The best people kind of pushing back on this narrative

530
00:27:40,119 --> 00:27:44,400
Speaker 2: is a descendant of an African American slave of James Madison,

531
00:27:44,440 --> 00:27:47,200
Speaker 2: who's just talking about how this is complete woke nonsense,

532
00:27:47,200 --> 00:27:49,400
Speaker 2: and you know how like lots of people had slaves,

533
00:27:49,400 --> 00:27:52,200
Speaker 2: but James Madison had a few other contributions that might

534
00:27:52,240 --> 00:27:57,600
Speaker 2: be a little bit more notable to acknowledge. Right, So

535
00:27:57,800 --> 00:28:01,200
Speaker 2: we've had also an erasure of America's historic European identity.

536
00:28:01,280 --> 00:28:02,960
Speaker 2: And it's not even not a value judgment, it's just

537
00:28:03,000 --> 00:28:06,280
Speaker 2: a fact judgment. To go back with the demographic slides

538
00:28:06,280 --> 00:28:11,639
Speaker 2: that I presented earlier in the entertainment space, this was

539
00:28:11,680 --> 00:28:13,760
Speaker 2: actually so most of writing this book. I mean, I've

540
00:28:13,760 --> 00:28:16,320
Speaker 2: been thinking about doing it for years. You kind of know,

541
00:28:16,640 --> 00:28:18,679
Speaker 2: like what you've got, but you just have to organize it.

542
00:28:18,840 --> 00:28:22,000
Speaker 2: This was actually something new I discovered in writing the book.

543
00:28:23,200 --> 00:28:26,400
Speaker 2: There's the Ninburgh School of Communications actually does these very

544
00:28:26,400 --> 00:28:30,600
Speaker 2: detailed demographic looks as at usc of kind of how

545
00:28:30,640 --> 00:28:34,760
Speaker 2: people are portrayed in media. And interestingly, minorities have been

546
00:28:34,760 --> 00:28:37,640
Speaker 2: portrayed more positively than whites in Hollywood since the nineteen sixties,

547
00:28:37,840 --> 00:28:41,440
Speaker 2: I mean, and that on average has gotten more extreme

548
00:28:41,480 --> 00:28:44,800
Speaker 2: as Hollywood has gotten more woke, and so you have things.

549
00:28:44,840 --> 00:28:47,800
Speaker 2: There's an entire site called white White People, white Men

550
00:28:47,840 --> 00:28:50,880
Speaker 2: are Stupid in Commercials that you can go to if

551
00:28:50,920 --> 00:28:51,480
Speaker 2: you're on Twitter.

552
00:28:51,520 --> 00:28:53,800
Speaker 4: I recommend you checking it out. And all it is.

553
00:28:54,040 --> 00:28:55,800
Speaker 2: It's like so much that it's like a trope within

554
00:28:55,840 --> 00:28:59,760
Speaker 2: the ad industry of like every commercial has to feature

555
00:29:00,120 --> 00:29:03,959
Speaker 2: a stupid white guy who is eased out of their

556
00:29:04,000 --> 00:29:10,080
Speaker 2: stupidity by some more enlightened minority. We have colored conscious

557
00:29:10,080 --> 00:29:14,200
Speaker 2: casting and racist oscar requirements, and we have anti whiteness.

558
00:29:14,240 --> 00:29:16,080
Speaker 2: And I look at this in a couple of major

559
00:29:16,960 --> 00:29:19,320
Speaker 2: areas of the movie Black Panther, which is one of

560
00:29:19,320 --> 00:29:21,760
Speaker 2: the ten biggest box office films of all time, and

561
00:29:21,920 --> 00:29:24,479
Speaker 2: musicals such as Hamilton, which, by the way, I mean,

562
00:29:24,480 --> 00:29:26,600
Speaker 2: I think both of these are actually quite good artistically,

563
00:29:26,640 --> 00:29:29,160
Speaker 2: but they do have a kind of racial agenda that

564
00:29:29,200 --> 00:29:34,040
Speaker 2: needs to be called out. So here's big tech. Some

565
00:29:34,120 --> 00:29:36,120
Speaker 2: of you may remember this a little bit. This was

566
00:29:36,200 --> 00:29:40,000
Speaker 2: when Google Gemini artificial intelligence was asked to generate an

567
00:29:40,000 --> 00:29:43,640
Speaker 2: image of a pope. Google Gemini was so woke their

568
00:29:43,640 --> 00:29:47,160
Speaker 2: original artificial intelligence system that they ended up having to

569
00:29:47,200 --> 00:29:51,480
Speaker 2: take it down because people were creating black Nazis, and

570
00:29:51,680 --> 00:29:52,600
Speaker 2: all the founding.

571
00:29:52,320 --> 00:29:54,000
Speaker 4: Fathers were not white and et cetera.

572
00:29:54,400 --> 00:29:57,120
Speaker 2: But it was just all Google AI was responding to

573
00:29:57,280 --> 00:30:00,520
Speaker 2: was the people programming it who were all, you know,

574
00:30:00,640 --> 00:30:02,920
Speaker 2: completely woke. And so you sort of get things that

575
00:30:02,960 --> 00:30:05,680
Speaker 2: are I mean, obviously the gentleman on the left that

576
00:30:05,720 --> 00:30:08,680
Speaker 2: could happen, but abbs in a large change in Catholic doctrine.

577
00:30:09,240 --> 00:30:12,800
Speaker 2: We're not going to have the other scenario anytime soon.

578
00:30:12,840 --> 00:30:14,640
Speaker 2: But this is the sort of absurdity that you get.

579
00:30:16,240 --> 00:30:18,480
Speaker 2: So you have anti white discrimination at Google, not just

580
00:30:18,560 --> 00:30:23,040
Speaker 2: in their algorithms, but in their hiring practices, massive big

581
00:30:23,080 --> 00:30:26,040
Speaker 2: tech payoffs to black lives matter that I document a

582
00:30:26,040 --> 00:30:29,720
Speaker 2: white flight from Silicon Valley as well. In the healthcare field,

583
00:30:29,800 --> 00:30:32,280
Speaker 2: again this was another area where I sort of learned

584
00:30:32,280 --> 00:30:33,800
Speaker 2: a little bit more while I was writing the book.

585
00:30:34,920 --> 00:30:37,520
Speaker 4: Lots of racist prioritization of the COVID vaccine.

586
00:30:37,520 --> 00:30:39,400
Speaker 2: People are not I mean, regardless what you think about

587
00:30:39,400 --> 00:30:41,920
Speaker 2: it or not, we shouldn't be prioritizing it based on race.

588
00:30:41,960 --> 00:30:44,440
Speaker 2: But in many states we were, even in some states

589
00:30:44,440 --> 00:30:49,120
Speaker 2: with Republican governors, we had major journals essentially forbidding whites

590
00:30:49,120 --> 00:30:54,040
Speaker 2: to write on minority health matters. Even the Tuskegee Civilist Experiment,

591
00:30:54,080 --> 00:30:59,080
Speaker 2: which is kind of considered the most notoriously racist experiment

592
00:30:59,320 --> 00:31:02,800
Speaker 2: in modern medical history, turns out and again I go

593
00:31:02,880 --> 00:31:04,520
Speaker 2: through this a lot in the book to have a

594
00:31:04,680 --> 00:31:06,760
Speaker 2: very different I mean, it had a lot of problems

595
00:31:06,800 --> 00:31:09,720
Speaker 2: as it was, it certainly violated our modern notions of

596
00:31:09,760 --> 00:31:14,120
Speaker 2: informed consent, but its origins were very likely not racist

597
00:31:14,200 --> 00:31:17,040
Speaker 2: at all. Right, But like this is constantly people are

598
00:31:17,040 --> 00:31:19,959
Speaker 2: beaten over the head about how racist that experiment was.

599
00:31:21,480 --> 00:31:23,800
Speaker 2: And finally we had the disappearance of MCAT and medical

600
00:31:23,800 --> 00:31:26,880
Speaker 2: school admission standards. So the same sort of thing I

601
00:31:26,880 --> 00:31:30,720
Speaker 2: was talking about before, just trying to advantage non white

602
00:31:30,720 --> 00:31:36,320
Speaker 2: groups by getting rid of objective standards for admission military,

603
00:31:36,560 --> 00:31:41,000
Speaker 2: same thing. People have no idea unless you are in

604
00:31:41,000 --> 00:31:42,760
Speaker 2: the military, or maybe you have a kid in the military,

605
00:31:42,800 --> 00:31:47,640
Speaker 2: how bad things have been. Disaster of equity and diversity

606
00:31:47,720 --> 00:31:50,920
Speaker 2: in military promotions. And as a result, you've had a

607
00:31:50,960 --> 00:31:53,880
Speaker 2: crumbling of white recruitment. So you had a twenty five

608
00:31:53,920 --> 00:31:59,080
Speaker 2: percent drop in white recruits while everybody else basically stayed

609
00:31:59,280 --> 00:32:01,600
Speaker 2: even over the past past few years. Well, obviously it

610
00:32:01,600 --> 00:32:03,960
Speaker 2: wouldn't be good to have a drop in any group

611
00:32:04,000 --> 00:32:07,760
Speaker 2: of recruits. But what was particularly worse is we were

612
00:32:07,800 --> 00:32:10,320
Speaker 2: losing capability at the tip of the spear because these

613
00:32:10,360 --> 00:32:13,840
Speaker 2: were the groups of young men traditionally who were the

614
00:32:13,880 --> 00:32:16,680
Speaker 2: most likely to be special forces, kind of like the

615
00:32:16,720 --> 00:32:20,680
Speaker 2: sort of highest skill, toughest, most demanding, most combat forward

616
00:32:20,920 --> 00:32:24,440
Speaker 2: sorts of positions, and we are telling them that.

617
00:32:24,440 --> 00:32:26,120
Speaker 4: They're not welcome, right.

618
00:32:26,560 --> 00:32:28,400
Speaker 2: And I don't think it's a coincidence, by the way,

619
00:32:29,000 --> 00:32:32,440
Speaker 2: that December and January of twenty twenty four and twenty

620
00:32:32,480 --> 00:32:35,760
Speaker 2: twenty five were the best recruiting years for the US

621
00:32:35,800 --> 00:32:39,600
Speaker 2: military in fifteen years, so about months in fifteen years.

622
00:32:40,160 --> 00:32:45,920
Speaker 2: So the cavalry is coming. One of my Claremont colleagues

623
00:32:45,920 --> 00:32:48,680
Speaker 2: has been particularly involved in this fight internally in DD

624
00:32:48,760 --> 00:32:51,280
Speaker 2: and we're bringing in some good people. But again, that's

625
00:32:51,360 --> 00:32:55,200
Speaker 2: that's sort of where we were, right. So my six

626
00:32:55,280 --> 00:32:58,680
Speaker 2: core recommendations I sort of talked about this. I'll just

627
00:32:58,760 --> 00:33:01,959
Speaker 2: go through these really quickly, but you know, these are

628
00:33:01,960 --> 00:33:04,880
Speaker 2: basically what I call for in the book. And Trump's

629
00:33:04,880 --> 00:33:08,280
Speaker 2: batting a thousand. He's at least addressed them all in

630
00:33:08,400 --> 00:33:10,520
Speaker 2: some form or fashion, and some of them he's just

631
00:33:10,600 --> 00:33:14,280
Speaker 2: like de I bureaucracies and affirmative action. He's just taken

632
00:33:14,320 --> 00:33:17,960
Speaker 2: care of completely. So that's great, that's what we want. That,

633
00:33:18,040 --> 00:33:20,360
Speaker 2: by the way, fight not over, because as we saw

634
00:33:20,800 --> 00:33:24,080
Speaker 2: with the Supreme Court judgment, that's really only the first

635
00:33:24,080 --> 00:33:27,680
Speaker 2: step because the left, until they are punished, will fly

636
00:33:27,720 --> 00:33:28,280
Speaker 2: out the law.

637
00:33:28,480 --> 00:33:29,760
Speaker 4: Okay, I have no doubt about that.

638
00:33:30,760 --> 00:33:33,360
Speaker 2: But we now need to bring the hammer of enforcement

639
00:33:33,440 --> 00:33:37,440
Speaker 2: down on people who are discriminating against white Americans in

640
00:33:37,440 --> 00:33:39,040
Speaker 2: the same way that we would do for if they're

641
00:33:39,040 --> 00:33:41,240
Speaker 2: discriminating against any other group of Americans.

642
00:33:42,480 --> 00:33:45,400
Speaker 4: So finally, like, what can Hillsdale do? What can you do?

643
00:33:46,480 --> 00:33:47,719
Speaker 4: I'll just offer a few thoughts.

644
00:33:49,560 --> 00:33:52,160
Speaker 2: So, Hillsdale's already a leader in non discrimination, and your

645
00:33:52,160 --> 00:33:56,080
Speaker 2: support's obviously really critical in making that continue to happen. Again,

646
00:33:56,080 --> 00:33:58,800
Speaker 2: when Hillsdale opted out of federal funding, they had to

647
00:33:58,800 --> 00:34:02,440
Speaker 2: fund all of their scholarship privately, and they've managed to

648
00:34:02,480 --> 00:34:05,400
Speaker 2: do that and keep the college quite affordable compared to

649
00:34:05,440 --> 00:34:06,400
Speaker 2: its peer institutions.

650
00:34:06,440 --> 00:34:08,239
Speaker 4: And that's because of folks like you.

651
00:34:08,360 --> 00:34:10,960
Speaker 2: So thank you very much for all the things that

652
00:34:11,000 --> 00:34:17,440
Speaker 2: you've done. Intellectual leadership again, obviously they have that again.

653
00:34:18,400 --> 00:34:20,600
Speaker 2: Kevin Slack is using this right now in his course.

654
00:34:20,640 --> 00:34:23,040
Speaker 2: I'm not aware of any other professors at more Woke

655
00:34:23,080 --> 00:34:26,080
Speaker 2: institutions who are using this as a textbook the year

656
00:34:26,080 --> 00:34:26,600
Speaker 2: it came out.

657
00:34:26,680 --> 00:34:28,960
Speaker 4: But that's great, you know that we have stuff like

658
00:34:28,960 --> 00:34:29,560
Speaker 4: that going on.

659
00:34:30,000 --> 00:34:32,719
Speaker 2: David Asrad, another faculty member, was an endorser of this

660
00:34:32,760 --> 00:34:39,480
Speaker 2: book early on. This gets into policy, and I punt

661
00:34:39,520 --> 00:34:42,560
Speaker 2: this entirely to Hillsdale's administration who might be there. But

662
00:34:43,000 --> 00:34:47,000
Speaker 2: there are some important cases that I document here Grove cityv.

663
00:34:47,040 --> 00:34:49,560
Speaker 2: Bell and the Civil Rights Restoration Act of nineteen eighty

664
00:34:49,560 --> 00:34:53,120
Speaker 2: seven that I believe should be overturned, both of them.

665
00:34:53,320 --> 00:34:55,880
Speaker 2: The Civil Rights Act of it, nineteen eighty seven restoration

666
00:34:56,040 --> 00:34:57,720
Speaker 2: was in one of nine dolls that passed over Reagan's

667
00:34:57,800 --> 00:35:01,040
Speaker 2: veto what this functionally did again, the kind of short

668
00:35:01,120 --> 00:35:04,240
Speaker 2: version of it is, they made it so that schools

669
00:35:04,280 --> 00:35:06,440
Speaker 2: like Hillsdale that said we're not going to give a

670
00:35:06,440 --> 00:35:09,080
Speaker 2: bunch of racial data or discriminated on the basis of race,

671
00:35:10,480 --> 00:35:14,640
Speaker 2: they could no longer get direct or indirect federal funding. Okay,

672
00:35:14,840 --> 00:35:17,279
Speaker 2: like even not even like Hillsdale couldn't get paid. But

673
00:35:17,400 --> 00:35:19,759
Speaker 2: like if you came in on a pell grant, you

674
00:35:19,800 --> 00:35:24,840
Speaker 2: couldn't go be a student at Hillsdale. I would encourage

675
00:35:24,920 --> 00:35:28,439
Speaker 2: us to attempt to challenge that and overturn that. Whether

676
00:35:28,520 --> 00:35:31,760
Speaker 2: Hillsdale would then choose to opt back into federal funding,

677
00:35:31,800 --> 00:35:36,440
Speaker 2: which would be certainly financially beneficial, but might you know,

678
00:35:36,480 --> 00:35:39,799
Speaker 2: cut against some other institutional prerogatives. I'll leave up to

679
00:35:40,080 --> 00:35:43,640
Speaker 2: Hillsdale's administration, but I think regardless, these would be great

680
00:35:43,640 --> 00:35:47,359
Speaker 2: things to get rid of. And then you know, again,

681
00:35:47,440 --> 00:35:49,759
Speaker 2: I imagine there's some folks here are significant donors or

682
00:35:49,800 --> 00:35:53,320
Speaker 2: who are politically quite active. Use your influence to stiffen

683
00:35:53,400 --> 00:35:56,080
Speaker 2: some spines in Congress. Again, I've been talking about this.

684
00:35:56,120 --> 00:35:59,360
Speaker 2: In fact, I've talked about it to three different groups

685
00:35:59,360 --> 00:36:01,319
Speaker 2: in Congress, and I have a standing invite to talk

686
00:36:01,360 --> 00:36:04,279
Speaker 2: to from the president of the freshman class.

687
00:36:03,960 --> 00:36:06,320
Speaker 4: To talk about it before all the GP freshmen.

688
00:36:06,719 --> 00:36:10,160
Speaker 2: So there is appetite now for this, like once somebody

689
00:36:10,160 --> 00:36:14,160
Speaker 2: actually got up and said something. You know, people are receptive,

690
00:36:14,239 --> 00:36:17,279
Speaker 2: but if they hear from you, they'll be more receptive, right,

691
00:36:17,400 --> 00:36:18,640
Speaker 2: And that's just sort of how things go.

692
00:36:19,080 --> 00:36:19,200
Speaker 5: You know.

693
00:36:19,239 --> 00:36:22,000
Speaker 2: I wanted to remove the taboo about talking about this

694
00:36:22,080 --> 00:36:25,239
Speaker 2: because I thought it was a really important discussion for

695
00:36:25,360 --> 00:36:28,000
Speaker 2: us to be having, so to the extent that you

696
00:36:28,040 --> 00:36:28,680
Speaker 2: can be part of that.

697
00:36:28,719 --> 00:36:29,960
Speaker 4: I think that would be really useful.

698
00:36:30,960 --> 00:36:35,319
Speaker 2: And then finally, personnelis policy, and that is just as

699
00:36:35,320 --> 00:36:38,640
Speaker 2: true a Hillsdale. It's also true in the administration. I

700
00:36:38,680 --> 00:36:41,439
Speaker 2: was in Trump one, I may well be in Trump

701
00:36:41,520 --> 00:36:43,799
Speaker 2: two at some point, and they're not incredibly just in

702
00:36:43,760 --> 00:36:46,640
Speaker 2: the future though I don't want to pre announce anything there,

703
00:36:46,680 --> 00:36:50,440
Speaker 2: but you know, it really does matter who we are

704
00:36:50,480 --> 00:36:53,360
Speaker 2: bringing in, you know, and whether they have the appetite

705
00:36:53,400 --> 00:36:56,960
Speaker 2: for the fight. And I think the big change that

706
00:36:56,960 --> 00:37:00,520
Speaker 2: we're seeing between Trump one and Trump two is that

707
00:37:00,640 --> 00:37:03,399
Speaker 2: they're just picking fighters. They're picking in people who are

708
00:37:03,440 --> 00:37:07,040
Speaker 2: not afraid to take out take a controversial stance to

709
00:37:07,160 --> 00:37:09,400
Speaker 2: push the bureaucracy to do things the bureaucy does not

710
00:37:09,480 --> 00:37:11,319
Speaker 2: want to do. That's the only way that we're going

711
00:37:11,400 --> 00:37:14,439
Speaker 2: to make that happen. And that is just as true

712
00:37:14,520 --> 00:37:17,000
Speaker 2: at the local level, at the state level, whatever level

713
00:37:17,000 --> 00:37:19,239
Speaker 2: that you're interacting with government, you know, figure out who

714
00:37:19,280 --> 00:37:22,280
Speaker 2: the fighters are just in general, because it's much easier

715
00:37:22,280 --> 00:37:25,680
Speaker 2: to convince a fighter somebody who's like temperamentally got that

716
00:37:26,160 --> 00:37:28,960
Speaker 2: willingness to go against the grain that this might be

717
00:37:28,960 --> 00:37:30,880
Speaker 2: an issue that they should fight about than it is

718
00:37:30,920 --> 00:37:32,840
Speaker 2: to kind of get a coward to not be a coward.

719
00:37:33,120 --> 00:37:38,439
Speaker 2: That's just been my that's been my experience in working

720
00:37:38,520 --> 00:37:44,719
Speaker 2: on this sort of thing. So sorry, I mean I

721
00:37:44,840 --> 00:37:48,520
Speaker 2: kind of quote finally from Cicero. This was something Marc

722
00:37:48,560 --> 00:37:50,520
Speaker 2: Andreesen brought up in a podcast, but I really thought

723
00:37:50,520 --> 00:37:53,880
Speaker 2: it was wonderful. He sort of talked about that the others,

724
00:37:53,920 --> 00:37:56,160
Speaker 2: you know, without my telling you, they are such fools

725
00:37:56,560 --> 00:37:58,560
Speaker 2: that they seem to think that though the Republic has

726
00:37:58,560 --> 00:38:01,319
Speaker 2: lost their fish ponds will be safe. And what he

727
00:38:01,360 --> 00:38:03,400
Speaker 2: meant by that was at the late Woman in Republic

728
00:38:03,440 --> 00:38:06,200
Speaker 2: when he's writing this, like a lot of the people

729
00:38:06,360 --> 00:38:09,200
Speaker 2: just looked at the corruption that was going on in

730
00:38:09,239 --> 00:38:11,759
Speaker 2: the Capitol and they just retreated. And look, I live

731
00:38:11,800 --> 00:38:14,799
Speaker 2: in Montana, so I'm not casting stones here, right, I'd

732
00:38:14,800 --> 00:38:16,920
Speaker 2: lived in California, right, I was in the thick of it.

733
00:38:18,320 --> 00:38:21,120
Speaker 2: And what Cisa is basically saying here, which I think

734
00:38:21,200 --> 00:38:23,799
Speaker 2: is a call to all of us moderns, is no,

735
00:38:23,920 --> 00:38:25,960
Speaker 2: you can't just hang out by your fishpond. You've got

736
00:38:26,000 --> 00:38:29,080
Speaker 2: to get involved in the fight, you know. And he

737
00:38:29,160 --> 00:38:33,719
Speaker 2: was frustrated that he couldn't get his team to kind

738
00:38:33,719 --> 00:38:35,839
Speaker 2: of get out there and on the battlefield.

739
00:38:35,320 --> 00:38:35,880
Speaker 4: So to speak.

740
00:38:36,840 --> 00:38:39,520
Speaker 2: And then finally, this is from a quote. This is

741
00:38:39,560 --> 00:38:42,960
Speaker 2: Frederick Douglas's statue at Hillsdale. Some of you may recognize

742
00:38:42,960 --> 00:38:46,279
Speaker 2: it if you've been on campus. The speech of the

743
00:38:46,320 --> 00:38:48,880
Speaker 2: text of the first of two TOXI give it Hillsdale's

744
00:38:48,960 --> 00:38:52,160
Speaker 2: is not fully recorded, unfortunately, but we do have this

745
00:38:52,280 --> 00:38:56,080
Speaker 2: kind of great quote from him, as I think a guidepost.

746
00:38:56,120 --> 00:38:58,520
Speaker 2: He says, there's no such thing as new truth. Error

747
00:38:58,600 --> 00:39:01,200
Speaker 2: might be old or new, but truth was as old

748
00:39:01,239 --> 00:39:03,160
Speaker 2: as the universe. And that's really what we need to do.

749
00:39:03,520 --> 00:39:06,040
Speaker 2: We need to live in truth, as the late great

750
00:39:06,320 --> 00:39:11,120
Speaker 2: check dissident playwright turn prime minister Vakov Hovel once said.

751
00:39:11,680 --> 00:39:13,440
Speaker 2: And I think if we do that and we talk

752
00:39:13,480 --> 00:39:17,800
Speaker 2: about these difficult issues, we're going to wind up winning

753
00:39:17,840 --> 00:39:20,799
Speaker 2: and continuing to win. And so I'm very excited about

754
00:39:20,800 --> 00:39:24,319
Speaker 2: the possibilities for the future. I'm excited and thankful that

755
00:39:24,360 --> 00:39:27,000
Speaker 2: all of you guys came out to hear me speak today,

756
00:39:27,400 --> 00:39:29,720
Speaker 2: and I'd be grateful and happy to take questions.

757
00:39:30,800 --> 00:39:40,759
Speaker 6: Thank you, Thank you, mister Carl. We have time for

758
00:39:40,800 --> 00:39:42,359
Speaker 6: a Q and A. If you have a question, please

759
00:39:42,440 --> 00:39:44,040
Speaker 6: raise your hand and wait for a microphone.

760
00:39:53,840 --> 00:39:57,960
Speaker 7: We know that brave scision has existed for years, but

761
00:39:58,880 --> 00:40:02,800
Speaker 7: I think that much of they blame for racism comes

762
00:40:02,840 --> 00:40:07,120
Speaker 7: from behavior of select groups who happen to be a

763
00:40:07,160 --> 00:40:12,960
Speaker 7: different race, and so it's a blank denial of that,

764
00:40:14,200 --> 00:40:17,080
Speaker 7: and if their behavior was not the where it is,

765
00:40:17,360 --> 00:40:18,680
Speaker 7: we wouldn't have the racism.

766
00:40:18,719 --> 00:40:21,279
Speaker 2: What we do right, well, I think what we've got

767
00:40:21,320 --> 00:40:24,600
Speaker 2: to do is just hold people accountable, regardless of race,

768
00:40:24,840 --> 00:40:27,839
Speaker 2: for the same level of behavior, right, without getting into

769
00:40:27,920 --> 00:40:31,080
Speaker 2: like you know X group is doing why Right, The

770
00:40:31,120 --> 00:40:34,640
Speaker 2: point is, if you commit a crime, you go to

771
00:40:34,760 --> 00:40:38,680
Speaker 2: jail equally, regardless of whether you're white, Black, Asian, or whatever.

772
00:40:40,080 --> 00:40:44,520
Speaker 2: And what the regime, media and our academic institutions and

773
00:40:44,560 --> 00:40:47,719
Speaker 2: everybody else has been trying to enforce is that we

774
00:40:47,760 --> 00:40:51,719
Speaker 2: should in fact not do what you're saying, but hold

775
00:40:51,719 --> 00:40:53,680
Speaker 2: people to a different standard. Or if we have a

776
00:40:53,680 --> 00:40:58,360
Speaker 2: statistical disparity, then we have to somehow erase that.

777
00:40:58,360 --> 00:40:59,360
Speaker 4: That was disparate impact.

778
00:40:59,360 --> 00:41:01,120
Speaker 2: I didn't get into the details of that, but that's

779
00:41:01,480 --> 00:41:05,080
Speaker 2: basically what disparate impact says is what you just described,

780
00:41:05,120 --> 00:41:07,800
Speaker 2: which is, when you go through, for example, an employment process,

781
00:41:08,280 --> 00:41:10,960
Speaker 2: if you wind up with a reference population that's particularly

782
00:41:11,000 --> 00:41:14,800
Speaker 2: different from a kind of population you select that's different

783
00:41:14,800 --> 00:41:18,320
Speaker 2: from the reference population. What you're doing is considered presumptively illegal,

784
00:41:19,280 --> 00:41:23,680
Speaker 2: and so you're automatically guilty of discrimination. Right So I

785
00:41:23,680 --> 00:41:26,480
Speaker 2: think that is the sort of problem, and that's what

786
00:41:26,520 --> 00:41:28,200
Speaker 2: we were just trying to get out of.

787
00:41:31,920 --> 00:41:32,879
Speaker 4: Thank you for your talk.

788
00:41:33,120 --> 00:41:36,640
Speaker 8: I have a question in regards to what it's called

789
00:41:37,000 --> 00:41:47,080
Speaker 8: adjacent white I just last week heard about PwC holding

790
00:41:47,200 --> 00:41:50,960
Speaker 8: a job there in Los Angeles in which they were

791
00:41:51,040 --> 00:41:56,279
Speaker 8: very clear that neither whites nor adjacent whites meaning Asians, Yeah,

792
00:41:56,520 --> 00:42:02,200
Speaker 8: they apply. How pervasive is that? And thinking about PwC,

793
00:42:02,360 --> 00:42:06,760
Speaker 8: which is a international organization, how do they get away

794
00:42:06,760 --> 00:42:07,120
Speaker 8: with that?

795
00:42:07,280 --> 00:42:07,480
Speaker 4: Right?

796
00:42:07,600 --> 00:42:09,400
Speaker 2: Well, this is the problem, right they have been, And

797
00:42:09,400 --> 00:42:11,560
Speaker 2: in fact, it's interesting I'll maybe send that over to

798
00:42:11,600 --> 00:42:14,680
Speaker 2: some folks I know in the administration, because.

799
00:42:14,480 --> 00:42:16,200
Speaker 4: They can't they really they can't.

800
00:42:16,239 --> 00:42:18,920
Speaker 2: Mean there may be some very very narrowly tailored ways

801
00:42:18,920 --> 00:42:22,960
Speaker 2: that they might be able to, but probably not so. Yes,

802
00:42:23,040 --> 00:42:24,440
Speaker 2: And in fact, this is one of the things I

803
00:42:24,480 --> 00:42:26,719
Speaker 2: talk about in the book, is that a lot of

804
00:42:26,719 --> 00:42:30,720
Speaker 2: the anti white racism that we're seeing is actually directed

805
00:42:30,760 --> 00:42:31,200
Speaker 2: at whites.

806
00:42:31,200 --> 00:42:32,480
Speaker 4: That's actually, frankly most of it.

807
00:42:32,680 --> 00:42:36,200
Speaker 2: But there's also a not insignificant amount, and college admissions

808
00:42:36,520 --> 00:42:38,759
Speaker 2: or jobs are a kind of classic example of this,

809
00:42:39,160 --> 00:42:42,520
Speaker 2: where whites are kind of caught up incidentally in a

810
00:42:42,560 --> 00:42:47,320
Speaker 2: process that attempts to measure for objective merit and whites

811
00:42:47,640 --> 00:42:50,160
Speaker 2: or Asian Americans or some other group might do better,

812
00:42:50,520 --> 00:42:52,759
Speaker 2: and so they all get swept up. And of course

813
00:42:52,800 --> 00:42:55,160
Speaker 2: then we have to have a theory about this group

814
00:42:55,239 --> 00:42:58,080
Speaker 2: being white adjacent because they're doing well.

815
00:42:58,360 --> 00:42:58,520
Speaker 4: Now.

816
00:42:58,520 --> 00:43:01,400
Speaker 2: Again, as I document in the book book, actually Asian

817
00:43:01,400 --> 00:43:05,840
Speaker 2: Americans are doing better than white Americans on virtually every

818
00:43:06,400 --> 00:43:10,919
Speaker 2: metric that you could use to discuss flourishing in twenty

819
00:43:10,960 --> 00:43:13,200
Speaker 2: first century America, despite the fact that many of them

820
00:43:13,200 --> 00:43:15,640
Speaker 2: are many to most of them are first or second

821
00:43:15,640 --> 00:43:19,840
Speaker 2: generation Americans. But yeah, this sort of pernicious white adjacent

822
00:43:19,920 --> 00:43:22,760
Speaker 2: type language, it's completely toxic.

823
00:43:23,080 --> 00:43:24,480
Speaker 4: And also the thing you're describing is.

824
00:43:24,440 --> 00:43:26,799
Speaker 2: Almost certainly illegal. Bit intel Trump, nobody was doing anything

825
00:43:26,840 --> 00:43:27,239
Speaker 2: about it.

826
00:43:30,160 --> 00:43:36,880
Speaker 3: Hi, I have a question about all the demographics, particularly

827
00:43:36,920 --> 00:43:39,600
Speaker 3: in a place like Arizona where we have a lot

828
00:43:39,600 --> 00:43:43,160
Speaker 3: of mail in ballots. How do we get all these

829
00:43:44,520 --> 00:43:49,440
Speaker 3: demographics about race and education and age, etc.

830
00:43:50,440 --> 00:43:54,040
Speaker 2: Yeah, so great question, and I should preface or I

831
00:43:54,040 --> 00:43:56,640
Speaker 2: should at least give an appendage to everything. I just

832
00:43:56,680 --> 00:44:01,200
Speaker 2: point out this sort of stuff does get very very contested.

833
00:44:01,480 --> 00:44:04,120
Speaker 2: Polsters try to measure this as accurately as they can

834
00:44:04,160 --> 00:44:07,040
Speaker 2: with exit polls. Than there are sort of things that

835
00:44:07,080 --> 00:44:10,200
Speaker 2: I've actually quoted that are slightly better than exit polls

836
00:44:10,200 --> 00:44:15,040
Speaker 2: that come out where different groups are working with thousands

837
00:44:15,080 --> 00:44:18,239
Speaker 2: of people who they've kind of validated and verified, and

838
00:44:18,280 --> 00:44:20,879
Speaker 2: then they follow them from election to election and they're

839
00:44:20,880 --> 00:44:24,600
Speaker 2: able to observe changes in behavior that way. So that's

840
00:44:24,680 --> 00:44:27,680
Speaker 2: how we do it as best we can. But none

841
00:44:27,719 --> 00:44:30,440
Speaker 2: of this is perfect, and you certainly shouldn't like one

842
00:44:30,520 --> 00:44:33,400
Speaker 2: or two points in either direction. Even more of that

843
00:44:33,520 --> 00:44:36,680
Speaker 2: sometimes for subgroups, you shouldn't necessarily take it as gospel,

844
00:44:36,880 --> 00:44:37,920
Speaker 2: just take it as indicative.

845
00:44:38,000 --> 00:44:42,359
Speaker 4: But a good question, Hi, I.

846
00:44:42,400 --> 00:44:45,600
Speaker 9: Just have a how do you address the fact that

847
00:44:46,200 --> 00:44:52,360
Speaker 9: some individuals might have parents in different of those classes

848
00:44:52,800 --> 00:44:55,120
Speaker 9: but they're only allowed to check one box?

849
00:44:55,480 --> 00:44:59,040
Speaker 4: Sure? Well, right, absolutely, I mean, but this is the absurdity.

850
00:44:59,040 --> 00:45:00,839
Speaker 2: And this is why it's so great that Hillsdale has

851
00:45:00,880 --> 00:45:03,440
Speaker 2: decided not to play this game, and that Trump is

852
00:45:03,440 --> 00:45:05,160
Speaker 2: trying to get the Feds out of this game. Right,

853
00:45:05,600 --> 00:45:08,239
Speaker 2: we have as again, I was throwing, I was going

854
00:45:08,280 --> 00:45:11,759
Speaker 2: through things really quickly. But multiracial Americans are now something

855
00:45:11,840 --> 00:45:14,880
Speaker 2: like six percent self identified in the census, which.

856
00:45:14,760 --> 00:45:16,800
Speaker 4: Is a huge number and huge growth.

857
00:45:18,040 --> 00:45:21,520
Speaker 2: And what's happening right now is you kind of identify,

858
00:45:21,719 --> 00:45:25,040
Speaker 2: especially if it's like a job application for whatever one

859
00:45:25,120 --> 00:45:27,720
Speaker 2: you think is going to get the most benefit, which

860
00:45:27,760 --> 00:45:29,799
Speaker 2: is a really dumb way to do it. And in fact,

861
00:45:29,840 --> 00:45:32,240
Speaker 2: I talk about this in the context of the book,

862
00:45:32,600 --> 00:45:35,200
Speaker 2: and that I show that since nineteen seventy we've had

863
00:45:35,239 --> 00:45:39,960
Speaker 2: a ten x number of people self identifying as Native American. Okay,

864
00:45:40,920 --> 00:45:45,400
Speaker 2: this is not due to a Native American population explosion, right,

865
00:45:46,280 --> 00:45:49,400
Speaker 2: It's due to the fact that people are not stupid, right, Like,

866
00:45:49,480 --> 00:45:51,920
Speaker 2: it's not just Elizabeth Warren, although by the way, it

867
00:45:51,960 --> 00:45:55,239
Speaker 2: is Elizabeth Warren, to be clear, right, Like that's the

868
00:45:55,320 --> 00:45:57,000
Speaker 2: media has sort of given her a pass on that,

869
00:45:57,040 --> 00:45:59,640
Speaker 2: but it's really clear that she used being a fake

870
00:45:59,719 --> 00:46:04,680
Speaker 2: chair key to get ahead in the academic world. But

871
00:46:04,920 --> 00:46:07,320
Speaker 2: you know, we're encouraging that. And the way to stop

872
00:46:07,360 --> 00:46:11,200
Speaker 2: doing that is to, you know, stop encouraging the sorts

873
00:46:11,239 --> 00:46:13,480
Speaker 2: of behavior that are going to give preference to one

874
00:46:13,520 --> 00:46:16,120
Speaker 2: race or another. And people will, you know, I think

875
00:46:16,160 --> 00:46:18,920
Speaker 2: increasingly in America. Just given the demographics I showed, a

876
00:46:18,960 --> 00:46:21,840
Speaker 2: lot of them will identify as multiracial. And that's fine, right, Like,

877
00:46:21,840 --> 00:46:22,680
Speaker 2: there's no problem with that.

878
00:46:24,440 --> 00:46:27,520
Speaker 5: Michael Collin, thanks for being here. I'm glad you brought

879
00:46:27,600 --> 00:46:32,640
Speaker 5: up Native Americans. My question is more about, First of all,

880
00:46:32,640 --> 00:46:35,799
Speaker 5: they never appear in any of these conversations except for

881
00:46:36,960 --> 00:46:43,080
Speaker 5: our senator from Massachusetts. But the monopoly on gambling and

882
00:46:43,120 --> 00:46:47,200
Speaker 5: the special privileges in hunting and fishing, and the sovereignty

883
00:46:47,239 --> 00:46:51,200
Speaker 5: and the whole gamish there is really odd.

884
00:46:51,840 --> 00:46:52,319
Speaker 4: Yeah, it is.

885
00:46:52,360 --> 00:46:54,880
Speaker 2: I mean, it's that's beyond the scope of anything I

886
00:46:54,960 --> 00:46:56,879
Speaker 2: touched on in the book, but you know, it's right,

887
00:46:56,920 --> 00:46:58,560
Speaker 2: and it's I mean, this is one of these things

888
00:46:58,600 --> 00:47:02,160
Speaker 2: where our historic relationship as a country with Native Americans

889
00:47:02,200 --> 00:47:05,160
Speaker 2: has been you know, it's been fraud it's also been

890
00:47:05,200 --> 00:47:07,759
Speaker 2: embraced at times. I mean, it has a million different dimensions,

891
00:47:08,000 --> 00:47:11,520
Speaker 2: but one of the historical elements that it has had

892
00:47:11,600 --> 00:47:15,319
Speaker 2: is that we've given tribes sovereignty as a sort of

893
00:47:15,360 --> 00:47:19,120
Speaker 2: sub nations in various ways. And you can debate whether

894
00:47:19,200 --> 00:47:20,480
Speaker 2: or not that was the right thing to do at

895
00:47:20,480 --> 00:47:23,000
Speaker 2: the time, or whether it's even if it was the

896
00:47:23,080 --> 00:47:24,399
Speaker 2: right thing to do at the time whether it's still

897
00:47:24,400 --> 00:47:25,719
Speaker 2: the right thing to do now, but.

898
00:47:25,719 --> 00:47:26,920
Speaker 4: That is our legal regime.

899
00:47:27,120 --> 00:47:27,200
Speaker 10: Now.

900
00:47:27,239 --> 00:47:29,640
Speaker 2: I should say this is not just an academic question.

901
00:47:29,680 --> 00:47:29,880
Speaker 4: To me.

902
00:47:29,920 --> 00:47:32,560
Speaker 2: I live in Montana, which is if you took out

903
00:47:32,640 --> 00:47:35,400
Speaker 2: Native Americans, we would be certainly the whitest state in America.

904
00:47:35,520 --> 00:47:38,560
Speaker 2: But we do have a very sizable Native minority that

905
00:47:38,719 --> 00:47:42,000
Speaker 2: lives on a number of tribal reservations. And you know,

906
00:47:42,040 --> 00:47:44,359
Speaker 2: my wife has worked in areas adjacent to that as

907
00:47:44,520 --> 00:47:49,120
Speaker 2: a physician. You know, you see some of the many,

908
00:47:49,160 --> 00:47:51,840
Speaker 2: many problems they're having on these reservations, and you wonder

909
00:47:51,840 --> 00:47:55,239
Speaker 2: whether we couldn't go through things in a better way.

910
00:47:55,280 --> 00:47:57,920
Speaker 2: But again, having worked at the Interior Department, which manages

911
00:47:58,120 --> 00:48:01,320
Speaker 2: those sorts of things, that's an incredibly politically fraud issue

912
00:48:01,320 --> 00:48:03,279
Speaker 2: and one that's kind of like beyond the scope of

913
00:48:03,760 --> 00:48:06,239
Speaker 2: anything I'm going to casually appine on in this talk.

914
00:48:10,000 --> 00:48:14,120
Speaker 11: Hello, when I look around this room, I see lots

915
00:48:14,200 --> 00:48:18,360
Speaker 11: of white, lots of why it's a couple of Asians,

916
00:48:18,440 --> 00:48:23,000
Speaker 11: few don't see blacks at all. What can we do

917
00:48:23,120 --> 00:48:23,799
Speaker 11: to change that?

918
00:48:24,239 --> 00:48:24,439
Speaker 4: Well?

919
00:48:24,480 --> 00:48:27,040
Speaker 2: I think I think one of the encouraging things, right,

920
00:48:27,239 --> 00:48:29,440
Speaker 2: is that part of the reason why Hillsdale. I mean,

921
00:48:29,480 --> 00:48:31,839
Speaker 2: I think there's a variety of reasons why why Hillsdale's

922
00:48:31,880 --> 00:48:35,480
Speaker 2: you know, had less diversity in that realm, but one

923
00:48:35,520 --> 00:48:38,920
Speaker 2: of it is that Hillsdale's not giving special treatment to anybody,

924
00:48:39,280 --> 00:48:41,160
Speaker 2: and so you know, people are going to go to

925
00:48:41,200 --> 00:48:44,319
Speaker 2: places typically where they might be getting better treatment. Once

926
00:48:44,360 --> 00:48:46,719
Speaker 2: we're back on a level playing field, my hope would

927
00:48:46,719 --> 00:48:49,640
Speaker 2: be that you're going to get more diversity. And then

928
00:48:49,680 --> 00:48:52,040
Speaker 2: there's obviously, I mean, there's things you can do. Again,

929
00:48:52,040 --> 00:48:55,439
Speaker 2: I don't want to speak for Hillsdale institutionally, but there's

930
00:48:55,440 --> 00:48:58,960
Speaker 2: obviously things that you can do to recruit in a

931
00:48:59,000 --> 00:49:03,400
Speaker 2: way that is race blind but still trying to, you know,

932
00:49:03,440 --> 00:49:06,800
Speaker 2: bring different perspectives and different types of diversity to your campus.

933
00:49:06,840 --> 00:49:08,040
Speaker 4: And you know, this is.

934
00:49:08,080 --> 00:49:11,319
Speaker 2: It's really sensitive because it's really easy to step on

935
00:49:11,360 --> 00:49:13,320
Speaker 2: a land mine where then you do give an affirmative

936
00:49:13,320 --> 00:49:17,839
Speaker 2: action in quotas. But there are ways that Hillsdale and

937
00:49:17,920 --> 00:49:20,640
Speaker 2: other schools can address it. And by the way, I

938
00:49:20,680 --> 00:49:23,800
Speaker 2: mean when you see these numbers, these blatantly illegal numbers

939
00:49:24,200 --> 00:49:27,280
Speaker 2: from the universities, what they're doing now, they are playing

940
00:49:27,360 --> 00:49:29,680
Speaker 2: these sorts of things as games. So what they've done

941
00:49:29,760 --> 00:49:35,640
Speaker 2: is they've basically tweaked their admission, you know, priorities and

942
00:49:35,680 --> 00:49:39,560
Speaker 2: categorizations such that they can have a merit based thing

943
00:49:39,640 --> 00:49:42,879
Speaker 2: that really gets them to the racial outcome they want.

944
00:49:42,880 --> 00:49:45,279
Speaker 2: But the problem is that's just a If you're using

945
00:49:45,280 --> 00:49:49,040
Speaker 2: that as a proxy for racial balancing, then that's illegal, right.

946
00:49:49,160 --> 00:49:52,560
Speaker 2: So I think I think this affirmative action thing, over

947
00:49:52,600 --> 00:49:57,160
Speaker 2: the long run, will encourage more diversity, at least by

948
00:49:57,239 --> 00:50:00,880
Speaker 2: race at Hillsdale. But again, I think Hillsdale has has

949
00:50:00,920 --> 00:50:04,680
Speaker 2: always prided itself on, you know, not being focused on that,

950
00:50:04,719 --> 00:50:06,920
Speaker 2: but on people who are looking for something else. And

951
00:50:06,960 --> 00:50:09,319
Speaker 2: I think over time, you know, hopefully more and more

952
00:50:09,360 --> 00:50:11,440
Speaker 2: people will come to embrace that vision and what that

953
00:50:11,520 --> 00:50:11,920
Speaker 2: looks like.

954
00:50:14,200 --> 00:50:21,040
Speaker 12: Hi, I've never watched CNN on purpose good, but on

955
00:50:21,160 --> 00:50:26,680
Speaker 12: Newsmax and Fox, I've seen clips of journalists, if you

956
00:50:26,719 --> 00:50:31,080
Speaker 12: want to call them that on just clips of people

957
00:50:31,360 --> 00:50:35,760
Speaker 12: from CNNs that are blacks, that say horrible things about

958
00:50:35,800 --> 00:50:40,960
Speaker 12: whites and many untrue things about whites. Why since there's

959
00:50:41,040 --> 00:50:45,080
Speaker 12: such an obvious group, why isn't anyone going against them

960
00:50:45,160 --> 00:50:46,040
Speaker 12: to take care of that?

961
00:50:46,360 --> 00:50:46,560
Speaker 10: Well?

962
00:50:46,640 --> 00:50:48,120
Speaker 4: I mean, you know, this is again, this is what

963
00:50:48,320 --> 00:50:51,319
Speaker 4: my book is trying to do. This is not. You know,

964
00:50:51,400 --> 00:50:53,520
Speaker 4: it's not some abstruse work of high theory.

965
00:50:53,560 --> 00:50:57,040
Speaker 2: It's really a group a work of documentation trying to

966
00:50:57,040 --> 00:50:59,879
Speaker 2: show how pervasive the sorts of things that you have

967
00:51:00,680 --> 00:51:03,680
Speaker 2: are in society. The reality is I think that the

968
00:51:03,719 --> 00:51:07,040
Speaker 2: simple answer to your question is people are scared of

969
00:51:07,080 --> 00:51:10,239
Speaker 2: being called racists, and I'm trying to tell people to

970
00:51:10,480 --> 00:51:13,360
Speaker 2: just get over it because we are not. They're not

971
00:51:13,400 --> 00:51:15,520
Speaker 2: going to stop calling you racist no matter what I promise.

972
00:51:15,760 --> 00:51:19,800
Speaker 2: If you do something that is useful, they're going to

973
00:51:19,840 --> 00:51:21,800
Speaker 2: call you a racist. Like if they stopped calling me

974
00:51:21,840 --> 00:51:24,480
Speaker 2: a racist, I'd be really nervous. I'd be like, what

975
00:51:24,480 --> 00:51:25,240
Speaker 2: am I doing wrong?

976
00:51:25,520 --> 00:51:25,680
Speaker 4: You know.

977
00:51:25,800 --> 00:51:27,440
Speaker 2: On the other hand, having said that, I mean, I

978
00:51:27,480 --> 00:51:32,360
Speaker 2: have talked about this book to interviewers from every single

979
00:51:32,360 --> 00:51:35,680
Speaker 2: demographic background you could imagine, and many people, and in

980
00:51:35,719 --> 00:51:37,680
Speaker 2: fact it is this is going to be my follow

981
00:51:37,719 --> 00:51:39,719
Speaker 2: up book, which is on how crazy the white left is.

982
00:51:40,080 --> 00:51:42,319
Speaker 2: By far, the white left is more crazy when you

983
00:51:42,360 --> 00:51:44,400
Speaker 2: talk to them about this than minorities.

984
00:51:44,440 --> 00:51:47,239
Speaker 4: Okay, I've had a lot of really good I mean.

985
00:51:47,160 --> 00:51:50,239
Speaker 2: I appeared on an African American talk show with three

986
00:51:50,280 --> 00:51:53,719
Speaker 2: different you know, African American hosts. Only one of whom

987
00:51:53,760 --> 00:51:55,600
Speaker 2: was even a Republican. You know, we had a really

988
00:51:55,640 --> 00:51:58,800
Speaker 2: good conversation about it. I've talked to Hispan occasion, you

989
00:51:58,880 --> 00:52:02,960
Speaker 2: name it, like, very good upfront conversations. Like woke leftists

990
00:52:03,080 --> 00:52:05,280
Speaker 2: have no interest in talking to me about my book.

991
00:52:06,440 --> 00:52:09,400
Speaker 2: So I think it's it's just really we have to

992
00:52:09,440 --> 00:52:14,040
Speaker 2: sort of start calling those guys to account. And again

993
00:52:14,160 --> 00:52:16,160
Speaker 2: you do not like if you've got truth on your side,

994
00:52:16,239 --> 00:52:17,120
Speaker 2: you shouldn't be afraid.

995
00:52:17,200 --> 00:52:20,879
Speaker 4: That's just my view. We now have time for one

996
00:52:20,920 --> 00:52:21,520
Speaker 4: more question.

997
00:52:23,160 --> 00:52:25,800
Speaker 10: Well it's not really a question, but I have a comment.

998
00:52:26,400 --> 00:52:28,800
Speaker 10: If I go anywhere and I have to fill in

999
00:52:28,880 --> 00:52:31,720
Speaker 10: an application, if they want to know, check this box

1000
00:52:31,840 --> 00:52:36,799
Speaker 10: why whatever, Asian or whatever, I checked nothing and I

1001
00:52:36,840 --> 00:52:38,120
Speaker 10: write in American.

1002
00:52:38,320 --> 00:52:47,120
Speaker 2: Yeah, yeah, that's great, And I would just actually observe.

1003
00:52:47,160 --> 00:52:48,440
Speaker 2: I mean again, I think that is a good form

1004
00:52:48,440 --> 00:52:52,640
Speaker 2: of civil disobedience against all this sort of stuff. And

1005
00:52:53,080 --> 00:52:55,359
Speaker 2: I will actually share there there is actually something real

1006
00:52:55,440 --> 00:52:57,960
Speaker 2: by the way that you've hit on that's deeper, which

1007
00:52:58,000 --> 00:53:00,759
Speaker 2: is if you look at the census, there are a

1008
00:53:00,800 --> 00:53:04,200
Speaker 2: lot of people who will check American as their ethnicity

1009
00:53:04,800 --> 00:53:07,600
Speaker 2: and do you know who the disproportionately where you will

1010
00:53:07,600 --> 00:53:11,839
Speaker 2: see that by far the most is in the sorts

1011
00:53:11,880 --> 00:53:14,720
Speaker 2: of places that jade Vans grew up. It's poor whites

1012
00:53:14,800 --> 00:53:18,080
Speaker 2: in Appalachia who just view themselves as Americans. You know,

1013
00:53:18,080 --> 00:53:21,879
Speaker 2: they're not viewing themselves by race. That's you know, that's

1014
00:53:21,920 --> 00:53:24,680
Speaker 2: the sort of people, the kind of you know, the

1015
00:53:24,920 --> 00:53:28,080
Speaker 2: people who sort of were part of their ancestors, sort

1016
00:53:28,120 --> 00:53:31,160
Speaker 2: of founded this country. And you know, that's how they

1017
00:53:31,239 --> 00:53:33,000
Speaker 2: view themselves. And I think that's how we should. We

1018
00:53:33,000 --> 00:53:35,239
Speaker 2: should all try to view ourselves and things will will

1019
00:53:35,280 --> 00:53:36,279
Speaker 2: go a lot better once we do.

1020
00:53:36,880 --> 00:53:38,279
Speaker 4: So, thank you very much for your time. I really

1021
00:53:38,320 --> 00:53:38,919
Speaker 4: appreciate it.

1022
00:53:41,120 --> 00:53:44,120
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1023
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1024
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1027
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1030
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